You’re viewing a demo workspace. Every number on this page is sample data. Sign in to use your own data

Overview

Every saving and every risk across your inference stack, ranked by what it’s worth per month.

Sep 24 – Oct 23, 2026

GPU spend

$46k

19 GPUs across 4 providers

Paid for, not used

$20k

44% of spend was idle

Cost per 1M tokens

$0.361

Blended, all endpoints

Savings found

$20k/mo

4 changes, 2 risks

October so far

Day 23 of 31. The projection extends the last 7 days’ average to month end; it’s an estimate.

Spent this month

$35,310

Projected month end

$47,532

at $1,528/day

Budget

$45,000

$2,532 over at this pace

Ranked opportunities

Sorted by monthly value. Risks have no price, so they sit below savings. Download CSV

  1. 1

    Move doc-summarize off AWS H100 on-demand

    Same 4× H100 on RunPod spot at $1.89/hr vs $4.42/hr. Nightly summaries tolerate preemption.

    GPU Radar doc-summarize Migration

    $7,390/mo
  2. 2

    Right-size support-agent from 8× to 5× H100

    Load test holds p95 at 980 ms on 5 GPUs at current peak. Three GPUs sit idle most of the day.

    Load testing support-agent Config change

    $6,110/mo
  3. 3

    Move transcribe from 2× H100 to 1× A100 80GB

    Whisper needs under 5 GB and runs at 22% utilization. One A100 covers peak with headroom.

    Inference FinOps transcribe Migration

    $5,510/mo
  4. 4

    Scale sql-copilot to 2× H200 on weekends

    Analysts barely query on weekends: traffic is 38% of weekday. A schedule keeps p95 under 1 s.

    Inference FinOps sql-copilot Config change

    $1,370/mo
  5. 5

    support-agent has no failover capacity in US-East

    H100 availability is low at CoreWeave and none at AWS in this region. A node loss means degraded latency.

    GPU Radar support-agent Review

    Risk
  6. 6

    sql-copilot p95 crossed 1 s twice this week

    Both spikes lined up with Lambda maintenance windows. Probes caught them 6 and 9 minutes before users reported.

    Synthetic monitoring sql-copilot Review

    Risk

Daily GPU spend

Download CSV
Used Idle
$0 $500 $1.0k $1.5k Sep 24 Oct 1 Oct 8 Oct 15 Oct 22
View as table
DayUsedIdle
Sep 24$837$655
Sep 25$990$561
Sep 26$597$927
Sep 27$585$924
Sep 28$939$615
Sep 29$872$629
Sep 30$953$581
Oct 1$876$645
Oct 2$896$640
Oct 3$589$987
Oct 4$580$988
Oct 5$863$637
Oct 6$867$647
Oct 7$940$617
Oct 8$889$682
Oct 9$933$611
Oct 10$637$938
Oct 11$629$943
Oct 12$934$557
Oct 13$872$647
Oct 14$884$604
Oct 15$883$674
Oct 16$900$626
Oct 17$610$964
Oct 18$630$920
Oct 19$891$628
Oct 20$856$643
Oct 21$960$556
Oct 22$889$656
Oct 23$875$616

Idle spend by endpoint

All endpoints as CSV
  • support-agent $9,613
    8× H100 · 41% utilized · $16,294 in 30 days
  • transcribe $5,033
    2× H100 · 22% utilized · $6,453 in 30 days
  • sql-copilot $3,074
    4× H200 · 68% utilized · $9,607 in 30 days
  • doc-summarize $2,194
    4× H100 · 83% utilized · $12,906 in 30 days
  • moderation $311
    1× A100 80GB · 57% utilized · $723 in 30 days

Fleet utilization by hour

Average of the last 4 weeks, UTC. Light cells are GPUs you paid for while they waited.

Mon Tue Wed Thu Fri Sat Sun 00:00 03:00 06:00 09:00 12:00 15:00 18:00 21:00